Evidence map›Paper›PMID 29949658›Full record

ArticleAddiction (Abingdon, England)2018

Multi-level analysis of alcohol-related injury, societal drinking pattern and alcohol control policy: emergency department data from 28 countries.

Cheryl J Cherpitel, Jane Witbrodt, Rachael A Korcha, Yu Ye, Bridget Kool, Maristela Monteiro

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Road traffic injury risk from alcohol and cannabis use among emergency department patients in Argentina.Revista panamericana de salud publica = Pan American journal of public health · 2022
    Article
  4. Road traffic injuries and substance use among emergency department patients in the Dominican Republic and Peru.Revista panamericana de salud publica = Pan American journal of public health · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Cheryl J CherpitelAlcohol Research Group, Emeryville, CA, USA.ORCID 0000-0001-6663-3466
Jane WitbrodtAlcohol Research Group, Emeryville, CA, USA.
Rachael A KorchaAlcohol Research Group, Emeryville, CA, USA.
Yu YeAlcohol Research Group, Emeryville, CA, USA.ORCID 0000-0002-2336-3803
Bridget KoolUniversity of Auckland, Auckland, New Zealand.
Maristela MonteiroPan American Health Organization, Washington, DC.

Funding

Cross-National Analysis of Alcohol & InjuryR01AA013750 · NIAAA · PUBLIC HEALTH INSTITUTE · PI CHERPITEL, CHERYL J · 2002 to 2018
$4.4M
NIAAA NIH HHS R01 AA013750
6 · The paper itself

Abstract

BACKGROUND AND

aimsSocietal-level volume and pattern of drinking and alcohol control policy have received little attention in the alcohol and injury literature. The aim of this study was to estimate the association between alcohol-related injury, individual-level drinking variables, country-level detrimental drinking pattern and alcohol policy.

designProbability samples of emergency department (ED) patients from the International Collaborative Alcohol and Injury Study (ICAIS), which includes four collaborative ED studies on alcohol and injury, all using a similar methodology, were analyzed with multi-level modeling of individual-level drinking variables and aggregate-level variables (country drinking pattern and alcohol policy) on alcohol-related injury in 33 ED studies.

settingSixty-two emergency departments in 28 countries covering five regions.

participantsA total of 14 390 injured patients arriving to the ED within 6 hours following injury. MEASURES: Alcohol-related injuries (self-reported drinking prior to the event and causal attribution of injury to drinking) were analyzed in relation to individual-level volume and pattern of drinking, study-level alcohol volume, country detrimental drinking pattern (DDP) and an alcohol policy measure, the International Alcohol Policy and Injury Index (IAPII). The IAPII includes four regulatory domains: availability, vehicular, advertising and drinking context.

findingsControlling for demographic characteristics, individual-level drinking and study-level volume, the IAPII was associated significantly with the proportion of both self-reported drinking [confidence interval (CI) = 0.97-0.99; P < 0.001] and causal attribution (CI = 0.97-0.99; P < 0.01) and DDP had little effect on these associations. All four domains were significantly predictive of self-reported drinking [availability (CI = 0.93-0.98, P < 0.01); vehicular (CI = 0.91-0.97, P < 0.001); advertising CI = 0.82-0.94, P < 0.01); and context (CI = 0.93-0.99, P < 0.01], while only the vehicular domain was significantly predictive of causal attribution (CI = 0.92-0.99; P < 0.05).

conclusionsThe more restrictive the alcohol policy in a country, the lower the rate of alcohol-related injury, with country-level drinking pattern having little effect on this relationship.

Indexed as

Public PolicyAdultAfricaAlcohol DrinkingAlcohol-Related DisordersAsiaAustralasiaBinge DrinkingCentral AmericaEmergency Service, HospitalEuropeFemaleHumansMaleMultilevel AnalysisNorth AmericaAlcohol control policycausal attributionemergency departmentinjuryself-reported consumptionsocietal drinking pattern

Identifiers

PMID29949658
PMCPMC6175650

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.